Optimum Design of Fully Composite, Unstiffened, Built-Up, Hybrid Steel Girder Using GRG, NLR, and ANN Techniques by Mohamed A. El-Aghoury, Ahmed M. Ebid, Kennedy C. Onyelowe

“…A lot of earlier research was carried out to optimize the design of the hybrid and nonhybrid composite steel beams under both static loading and dynamic behavior. …”
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OPTIMIZATION OF GRAPE PEELS PARTICLE SIZE AND FLOUR SUBSTITUTION IN WHITE WHEAT FLOUR DOUGH by SILVIA MIRONEASA, MĂDĂLINA IUGA, DUMITRU ZAHARIA, COSTEL MIRONEASA

“…This study aimed to optimize formulation factors, GPF particle size and level of flour substitution in WWF dough using response surface methodology (RSM) with a full factorial design and multiple responses optimization approach. …”
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Parametric optimization of Archimedes screw turbine by response surface methodology and artificial neural networks by Vipin Uniyal, Ashish Karn, Varun Pratap Singh

“…Utilising response surface methodology (RSM) through a central composite design (CCD) and artificial neural networks (ANN), the research explores the predictive accuracy of these methods for optimal power generation. …”
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Optimization of the Fc-fusion protein refolding method produced from the bacterial expression system by P. S. Astrelina, S. A. Ishchuk, A. V. Kabanova, R. V. Drai

“…Response surface plots were constructed, and the optimal factor values were determined. The statistical models demonstrated high predictive accuracy and data reproducibility. …”
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Exploring novel magnetic nanocomposite coagulants utilization for advanced drilling wastewater treatment and optimization by Behrad Shadan, Reza Gharibshahi, Arezou Jafari

“…Their effects on Total Dissolved Solids (TDS) removal, Total Suspended Solids (TSS) removal, and Turbidity Reduction Rate (TRR) were analyzed via parametric study and response surface design of experiments, employing Central Composite Design. Numerical models were developed for each response, with variance analysis revealing complex interdependent effects. …”
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Optimization of clay-based ceramic mixtures with sugarcane bagasse fiber for 3D printing by Guilherme Pante Leme de Campos, Pietro Sinigaglia Lunelli, Elisângela Guzi de Moraes, Marcelo Tramontin Souza, Antonio Pedro Novaes de Oliveira

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Smart synergistic Fenton oxidation: CCD-optimized pathway for efficient 4-nitrophenol degradation by Neha Pandey, Nayna Agarwal, Prabir Ghosh, Gurudatta Singh, Kapil Kumar

“…Abstract This study presents a smart synergistic Fenton oxidation approach for the efficient degradation of 4-nitrophenol (4-NP), incorporating a statistically optimized pathway using Central Composite Design (CCD) within the framework of Response Surface Methodology (RSM). …”
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Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions by Pei Zhang

“…In addition, nine machine learning (ML) methods were employed to construct predictive models, and SHapley Additive exPlanations (SHAP) was used to further interpret the optimal model.ResultsThis study enrolled 9,224 adult female participants. …”
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Optimization of process conditions and kinetic microbial growth for milk fermentation using domestic kefir grains from Costa Rica by Isabela de Sainz, Mauricio Redondo-Solano, Godofredo Solano, Lautaro Ramírez

“… Kefir, a fermented milk product, differs from yogurt due to its unique microbial composition, offering a broad spectrum of health benefits. …”
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Advanced machine learning and experimental studies of polypropylene based polyesters tribological composite systems for sustainable recycling automation and digitalization by Abrar Hussain, Jakob Kübarsepp, Fjodor Sergejev, Dmitri Goljandin, Irina Hussainova, Vitali Podgursky, Kristo Karjust, Himanshu S. Maurya, Ramin Rahmani, Maris Sinka, Diāna Bajāre, Anatolijs Borodiņecs

“…In this research work, the experimental and Python based Archard deep learning wear rate models are introduced regarding recycling automation and composite tribological systems optimization. …”
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A Comparative Analysis of Buckling Pressure Prediction in Composite Cylindrical Shells Under External Loads Using Machine Learning by Hyung Gi Lee, Jung Min Sohn

“…The study highlights the critical role of machine learning in predicting buckling pressure, which is essential for ensuring structural integrity and optimizing performance in marine engineering and other applications involving composite materials.…”
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Anchored and epoxied ferrocement strips for improving flexural performance of two-way reinforced concrete slabs by Galal Elsamak, Mohamed Ghalla, Moataz Badawi, Abdullah Albogami, Taher A. Tawfik, Ramy I. Shahin

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In Vitro Characterization of 3D-Printed PLA/CPO Oxygen Releasing Scaffolds: Mechanical and Biological Properties for Bone Tissue Engineering by Abdullah Mohammed, Alice Tirnoveanu, William Richard Webb, Ammar A. Melaibari, Adnan Memić, Mohammad Aslam, Amr Elshaer, Hany Hassanin, Khamis Essa

“…The PLA/CPO composite filament was fabricated via wet-mixing, solvent evaporation, and hot-melt extrusion, followed by fused deposition modeling (FDM) with optimized parameters to achieve high structural fidelity (25% porosity, 0.60mm pore size). …”
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Feasibility of fusion plasma burn control via real-time, sub-divertor neutral gas isotopic and compositional analysis by C.C. Klepper, E. Lerche, V. Graber, E. Delabie, E. Schuster, T.M. Biewer, J.D. Lore, P. Jacquet, M.J. Mantsinen, C. Marcus, B.R. Quinlan, the EUROfusion Tokamak Exploitation Team, JET Contributors

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A novel composite index of PSA and periprostatic adipose tissue quantification for enhancing high-grade prostate cancer prediction by Jie Xiong, Yunfan Liu, Xiaofeng Qiao, Guangyong Ai, Jiangqin Ma, Xiaojing He

“…Among these, the PSA × PPFA/PA model showed superior performance, with an optimal cutoff value of 42.135. …”
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Does the COVID-19 pandemic affect the asset allocation performance? Evidence from a composite asset selection approach by Jung-Bin Su

“…Abstract This study utilizes version 6 of the regression analysis of time series (RATS) software package to implement the estimation of the bivariate diagonal generalized autoregressive conditional heteroscedasticity (GARCH) model combined with a composite asset selection approach including two hybrid performance measures to solve ‘the trade-off problem between return and risk’ and ‘the inconsistent results from different performance measures’ in the problem of asset allocation within a group of minimum variance portfolios during the pre-COVID-19 and COVID-19 periods. …”
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Floating 3D-PDMS-Iron oxide molecular baskets for decontaminating diverse pollutants and analyzing structural composition impacts by Sethu Kalidhasan, Jonghoon Choi, Hee-Young Lee

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Comparison of Paraquat Herbicide Removal from Aqueous Solutions using Nanoscale Zero-Valent Iron-Pumice/Diatomite Composites by Abbas Khodabakhshi, Fazel Mohammadi-Moghadam, Mohammad Mehdi Amin, Sara Hamati, Shakila Hayarian

“…The results showed that the optimal pH for both processes was 3.74. In optimal conditions, the efficiencies of D-nZVI and P-nZVI were 92.76% and 85.28%, respectively. …”
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Privacy-Preserving SGD on Shuffle Model by Lingjie Zhang, Hai Zhang

“…It turns out that the optimal utility bound with the shuffle model is superior to the bound without the shuffle model, which is consistent with the previous work. …”
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A Systematic Study on Digital Light Processing 3D Printing of 0-3 Ceramic Composites for Piezoelectric Metastructures by Huiru Wang, Qingbo Lai, Dingcong Zhang, Xin Li, Jiayi Hu, Hongyan Yuan

“…This work offers critical insights into optimizing DLP for functional materials and expands the potential of 3D-printed piezoelectric composites.…”
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